Senior Applied Scientist in Materials

Microsoft Research AI for Science is seeking a talented applied scientist to join our mission of accelerating scientific discovery through AI.

• Work closely with experimental partners and translate foundational AI capabilities towards real-world impact.
• Learn to interpret experimental data and translate them to actionable insights for model development.
• Apply machine learning models, including generative models and machine learning force fields, to speed up the discovery of novel materials.
• Generate domain-specific datasets and fine-tune machine learning models.
• Collaborate with experimental partners to validate computationally designed materials candidates in laboratories.
• Prepare technical papers, presentations, and open-source releases of research code.

• PhD in experimental or computational materials science, condensed matter physics, machine learning, or related area, or comparable industry experience.
• Experience in applying machine learning models to solve real-world problems in materials science.
• Proficiency in collaborative code development in Python on shared codebases.
• Publication track record in relevant academic journals (npj computational materials, Nature Materials, PRB, PRL, etc.).
• Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds.

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company.